Applied Scientist II (AI)

TL;DR

Applied Scientist II (AI): Building and improving machine learning and GenAI models to power underwriting decisions and risk selection with an accent on framing and data exploration through model design, evaluation, deployment, and monitoring. Focus on applying state-of-the-art ML and GenAI techniques, designing robust pipelines, and integrating models into production workflows.

Location: Remote (Canada)

Salary: CAD $103,800/year – $144,100/year

Company

hirify.global is the world's first Active Insurance provider, combining comprehensive insurance coverage and innovative cybersecurity tools to prevent digital risk.

What you will do

• Build and advance business-critical ML and GenAI models for underwriting decisions and risk selection.
• Drive ML projects end-to-end, from problem framing and data exploration to deployment and monitoring.
• Design and implement ML pipelines for data preprocessing, feature engineering, and model training.
• Apply state-of-the-art ML and GenAI workflows to improve underwriting accuracy and automation.
• Own model quality and robustness by defining success metrics and iterating on performance.
• Collaborate with underwriters, product managers, data scientists, and engineers to integrate models into production workflows.

Requirements

• Ph.D. or MS in a quantitative or computational field, or equivalent practical experience.
• 5+ years of full-time experience developing and deploying ML- and data-based solutions in production.
• Practical, hands-on experience with supervised and unsupervised learning methods, including model selection, regularization, and calibration.
• Expertise in statistical analysis methods, especially regression analysis, statistical inference, and forecasting/time-series methods.
• Strong proficiency in Python and core ML libraries (e.g., scikit-learn, XGBoost/LightGBM, PyTorch/TensorFlow) and SQL.
• Experience with experiment design and evaluation (e.g., A/B tests, offline metrics vs. online KPIs).
• Exceptional written and oral communication skills.
• Minimum 1+ year of experience in insurance underwriting modeling.

Nice to have

• Experience with modern GenAI techniques relevant to underwriting (e.g., LLMs for document understanding, extraction, or copilot workflows).
• Familiarity with model governance in regulated environments.
• Experience with ML orchestration and MLOps tools (e.g., Airflow, Prefect, MLflow, SageMaker).
• Exposure to causal inference or uplift modeling.
• Experience working with cyber or P&C insurance data.

Culture & Benefits

• Remote-first, highly inclusive culture that welcomes diverse backgrounds.
• 100% medical, dental, and vision coverage.
• Flexible PTO.
• Annual home office stipend and WeWork access.
• Mental & physical health wellness programs like Headspace and Lumino.
• Competitive compensation and opportunity for advancement.